Enhanced Insights into Alcohol Use Disorder from Lifestyle, Background, and Family History in a Large-Scale Machine Learning Study
This study leverages an expanded All of Us Research Program dataset and machine learning to confirm that annual income, family history, and various lifestyle factors are robust, multi-level determinants of Alcohol Use Disorder, with Random Forest models achieving 81% accuracy in predicting AUD status.